Phys.org

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...
GitHub

supervised-machine-learning

A machine learning project to predict loan default risk using financial and credit history data. Built as part of a team capstone project in master degree at Deakin University. BayesCOOP is a scalable ...
Medscape

Machine Learning Algorithm Predicts Gout Flares Using RNA

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...
IEEE

Supervised Machine Learning Algorithm using Sleep Cycle Classification

Abstract: Electroencephalogram (EEG) signals provide useful information for diagnosing sleep disorders such as restless legs syndrome, insomnia, snoring, and sleep hypoventilation. The use of an ...
GitHub

machine-learning-streamlit-scikit-learn-python

🌸📊 A Streamlit ML app to classify Iris flowers 🌼 into Setosa, Versicolor, or Virginica using scikit-learn 🚀 ...
IEEE

Multiple Disease Prediction System using Machine Learning and Streamlit

Abstract: There are many existing machine learning models related to health care which mainly focuses on detecting only one disease. Therefore, this study has developed a system to forecast several ...
Scientific Research Publishing

Abdulqader, D.M., Abdulazeez, A.M. and Zeebaree, D.Q. (2020) Machine Learning Supervised ...

ABSTRACT: The deep learning model is overfitted and the accuracy of the test set is reduced when the deep learning model is trained in the network intrusion detection parameters, due to the ...